Lifeboat Foundation

In the United States, the first step on the road to exascale HPC systems began with a series of workshops in 2007. It wasn’t until a decade and a half later that the 1,686 petaflops “Frontier” system at Oak Ridge National Laboratory went online. This year, Argonne National Laboratory is preparing for the switch to be turned on for “Aurora,” which will be either the second or the third such exascale machine in the United States, depending on the timing of the “El Capitan” system at Lawrence Livermore National Laboratory.

There were delays and setbacks on the road to exascale for all of these machines, as well as technology changes, ongoing competition with China, and other challenges. But don’t expect the next leap to zettascale – or even quantum computing – to be any quicker, according to Rick Stevens, associate laboratory director of computing for environment and life sciences at Argonne. Both could take another 15 to 20 years or more.

Such is the nature of HPC.

In the 1930s the Dust Bowl decimated the U.S. Midwest. Are current conditions pointing to a reoccurrence in the 21st century?

A dust storm between St. Louis and Chicago led to a 72-vehicle pileup and 7 deaths recently. Conditions are ripe for more of the same.

Artificial Intelligence and Machine Learning are two terms that are commonly used interchangeably. But they are not the same thing. Artificial Intelligence is a field which contains a lot of sub-fields, including Machine Learning.

In this article I hope to comprehensively differentiate between AI and Machine Learning. I’ll explain how Machine Learning is not the same thing as Artificial Intelligence, but rather a part of it – like a cog amongst many cogs that makes up the machine which is Artificial Intelligence.

To begin, I’ll discuss the two concepts separately, describe their subsets, and then state the relationship binding the two of them. I’ll explain how Machine Learning, as a cornerstone concept, fits into AI as a field.

Astrophotographer Andrew McCarthy has captured a “GigaMoon” — a 1.3-gigapixel highly-detailed image of the Moon made from 280,000 photos.

It’s an image that McCarthy has wanted to capture for a long time, with multiple attempts thwarted by poor conditions.

Exceptionally well-preserved fossils from the Cambrian period have helped fill a gap in our understanding of the origin and evolution of major animal groups alive today.

A new analysis of fossils belonging to an extinct invertebrate called Rotadiscus grandis have helped place this species in the animal tree of life, revealing how some characteristics of living species may have evolved independently rather than originating in a single common ancestor.

Half a billion years ago, an unusual-looking animal crawled over the sea floor, using tentacles to pick up food particles along the way.

The shark’s spooky white eyes and egg pouch set it apart from nearly all other shark species, scientists say.

https://youtube.com/watch?v=q49UdKvoj8I

Companies are sending their products into orbit and plastering their logos on spacecraft. Will space ads dull our sense of wonder about the universe?

Graphene, by all metrics, is a revolutionary material producing some unbelievable results. Avadain has developed a patented breakthrough technology for producing industrial volumes of large, thin, and nearly defect-free graphene flakes, addressing the $100B market demand for this revolutionary material.

The new version of the human genome could lead to better diagnostics and treatment of genetic diseases.